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Update DeePMD_22_05_2025.md #266

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3 changes: 2 additions & 1 deletion source/_posts/DeePMD_22_05_2025.md
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At 3 AM in the laboratory, the hum of the centrifuge sounds like a countdown. You stare at the 42nd set of repeated experimental data, and the spring of the pipette makes a tired clicking sound — these hands that once solved the most difficult problems in the college entrance examination are now trapped in day-to-day mechanical operations.

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AI has arrived, and the era of AI for Science (AI4S) is here. We are beginning to see a different future and witnessing the rise of automated and intelligent laboratories. However, compared to the 100,000 traditional biochemistry, environment, and materials laboratories, how many new laboratories can be built? Compared to the millions of graduate students in biochemistry, environment, and materials experiments, how many can obtain tickets to the intelligent era?
We asked Bohrium Science Navigation:https://cn.bing.com/search?q=%23%E5%B0%8F%E7%A8%8B%E5%BA%8F%3A%2F%2F%E7%8E%BB%E5%B0%94Bohrium%2FKWamiuZ0nOfDwCr&cvid=0baa952d3bba4943a76dcb29d8d86206&aqs=edge..69i57.800j0j1&pglt=43&FORM=ANNTA1&PC=LCTS

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In April 2025, we launched the intelligent laboratory open-source operating system Uni-Lab-OS — this is not a cold collection of codes, but a "nerve center" that awakens experimental equipment — reactors begin to autonomously adjust parameters like old craftsmen, with temperature fluctuations reduced by 80% compared to manual control; pipetting workstations can autonomously learn your operation habits, and the laboratory at 3 AM finally no longer requires physical attendance...

The open-source and open Uni-Lab-OS hopes to explore a different path — **the community route of AI4S. AI4S brings not just the rise of a few new laboratories, but an efficiency revolution for 100,000 traditional laboratories! It's not just the honor of a few academic stars, but the youth breakthrough for millions of graduate students in biochemistry, environment, and materials experiments!**
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